Batch Fault Detection
Batch Fault Detection is a methodological framework within batch process control that identifies deviations from normal operating conditions in batch processes by analyzing multivariate data trajectories over time to distinguish faulty from fault-free batch executions.
148
Publications
6.8K
Citations
312
Authors
126
Institutions
Publications per year
2017–2026
46
Parents
148
1–5 of 148
312
Hong Kong University of Science and Technology, Hong Kong SAR China
14 publications · 689 citations
13
h-index
10
h-index
7
h-index
5
h-index
5
h-index
1–5 of 312
126

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
12 h-index
28 publications
1.5K citations

Northeastern University
Shenyang, China
11 h-index
32 publications
2.5K citations
East China University of Science and Technology
Shanghai, China
8 h-index
17 publications
711 citations

Shanghai Jiao Tong University
Shanghai, China
8 h-index
15 publications
382 citations

Zhejiang University of Technology
Hangzhou, China
8 h-index
20 publications
579 citations
Pohang University of Science and Technology
Pohang, South Korea
6 h-index
11 publications
1.1K citations

University of Amsterdam
Amsterdam, The Netherlands
5 h-index
16 publications
698 citations
Shell (Netherlands)
The Hague, The Netherlands
5 h-index
7 publications
206 citations
1–8 of 126
25 publications · 1K citations
20
h-index
14 publications · 956 citations
14
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14 publications · 581 citations
13
h-index
11 publications · 673 citations
10
h-index
6 publications · 217 citations
6
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1–5